a world of materials many products each with its own reality - - PowerPoint PPT Presentation

a world of materials many products each with its own
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a world of materials many products each with its own reality - - PowerPoint PPT Presentation

a world of materials many products each with its own reality material data compressive stress relaxation tensile viscosity fatigue conductivity expansion properties that describe reality web services for material data Paperless MDM


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a world of materials

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each with its own reality many products

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properties that describe reality

tensile compressive conductivity fatigue expansion stress relaxation

material data

viscosity

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web services for material data

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Paperless MDM Improves Quality and Availability of Material Data

Hubert Lobo

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Why all this?

Except for simple cases…. Material properties are not definitive! Handbook values are typical, not representative You cannot possibly measure all the possible nuances of a materials behavior- nor would you be interested

Problem

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Material properties differ…

Properties depend on the application

– on test conditions:

  • temperature
  • rate
  • time
  • environmental exposure

– the samples – the test specimens

Problem

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What’s good for selection…

The correct material property for a particular use may not be the right one for another application Conversely, it is pointless developing properties outside the context of an application

can be bad for VPD!

Problem

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Case 1

Automotive- Fuel Tank

– Material : Polyethylene (PE) – Deformation: large, low temp failure – Model: *ELASTIC/*PLASTIC – Data needed: stress-strain curve:

  • fuel soaked specimens
  • –40C

– Typical data: taken on virgin resin at 23C

Reality:

– Data at –40C is needed – Much stiffer, brittle failure? Example

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Finding the right data

Imagine wading through enormous swamps looking for the right data

– Handbooks – Internet – Databases – File cabinets – Colleagues and co-workers

Problem

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Inconsistent use of data

Handbook 1 Database Internal lab data Modulus for Material A Data Sources Engineer B Engineer A Engineer C XYZ Company

Problem

the six sigma killer…

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Poor properties can be fatal

Property no longer represents the behavior being simulated Can be a root cause of error in CAE Presents a serious credibility problem for analyst, CAE tool, and VPD

Problem

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How to avoid this?

Understand the environment that is being simulated Translate the behaviors into a set of measurable property requirements Pay heed to the underlying assumptions Develop representative properties Use consistently across VPD platform

Requirement

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The big picture

We need to store a multitude of varied properties Which depend on the end use application For diverse applications For diverse material types Useable in a variety of CAE solutions

a major mess…

Problem

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Introducing Matereality

Solution

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Handles data diversity

Solution

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Stores pertinent data

Solution

Material names are trademark of The Dow Chemical Company

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*

Records traceability

Solution

Material names are trademark of The Dow Chemical Company

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Displays variability

Solution

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Application to VPD and beyond

Product: safety glasses Material: polycarbonate Part designer’s matereality

  • Stress-strain data
  • Impact data
  • Refractive index

Molder’s matereality

  • Melt flow rate
  • Izod strength

Moldflow analyst’s matereality

  • Viscosity
  • Thermal conductivity
  • Melt density
  • Specific heat
  • No-flow temperature

Example

Moldflow is a trademark of Moldflow Corp.

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Stakeholders in VPD

material supplier end user CAE vendor Collaborate

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Matereality is collaborative,

co-workers contractors suppliers me Collaborate

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flexible,

Highly efficient data pipelines

my data source my competition my supplier me my data source Collaborate

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secure!

knowledge

Collaborate

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creates secure, flexible networks

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Matereality applied consistently

MDM Material A External Lab Material Supplier Internal lab Data Sources Engineer B Engineer A XYZ Company Engineer C XYZ Company’s collaborators

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Cost savings

Only the properties needed are measured Once measured, properties are shared by all stakeholders Reduced risk- no searching in dubious places for data

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Conclusions

Authoritative source of material data Stores entire context of data (paperless) Handles any kind of material data Selectively shareable by stakeholders Achieves cost benefits Reduces risk Extensible to entire product life cycle

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www.matereality.com

Available to all

– For individuals- Matereality4Me – For small groups- MaterealityDomain – For test labs- MaterealityProvider – For enterprises-MaterealityEnterprise